activity
20062023
most citedEstimation of the lead-lag parameter from non-synchronous data

63 citations · 209 across the 32 of their papers we have counts for

collaborators

36 papers

stat.ME2023

Asymptotic expansion for batched bandits

Yechan Park, Nakahiro Yoshida

In bandit algorithms, the randomly time-varying adaptive experimental design makes it difficult to apply traditional limit theorems to off-policy evaluation of the treatment effect…

math.ST2023★ 1 cited

Penalized estimation for non-identifiable models

Junichiro Yoshida, Nakahiro Yoshida

We derive asymptotic properties of penalized estimators for singular models for which identifiability may break and the true parameter values can lie on the boundary of the paramet…

math.ST2022

Quasi-maximum likelihood estimation and penalized estimation under non-standard conditions

Junichiro Yoshida, Nakahiro Yoshida

The purpose of this article is to develop a general parametric estimation theory that allows the derivation of the limit distribution of estimators in non-regular models where the…

math.ST2022

Asymptotic expansion of an estimator for the Hurst coefficient

Yuliya Mishura, Hayate Yamagishi, Nakahiro Yoshida

Asymptotic expansion is presented for an estimator of the Hurst coefficient of a fractional Brownian motion. For this, a recently developed theory of asymptotic expansion of the di…

math.PR2022★ 2 cited

Order estimate of functionals related to fractional Brownian motion and asymptotic expansion of the quadratic variation of fractional stochastic differential equation

Hayate Yamagishi, Nakahiro Yoshida

We derive an asymptotic expansion for the quadratic variation of a stochastic process satisfying a stochastic differential equation driven by a fractional Brownian motion, based on…

math.ST2021★ 3 cited

Global jump filters and realized volatility

Haruhiko Inatsugu, Nakahiro Yoshida

For a semimartingale with jumps, we propose a new estimation method for integrated volatility, i.e., the quadratic variation of the continuous martingale part, based on the global…